Rank Scores
A medium-tier problem at 65% community acceptance, tagged with Database. Reported in interviews at Google and 1 others.
Rank Scores is a medium-difficulty database problem that shows up in Google and Yahoo assessments. If you're prepping for a SQL round, this one tests whether you can actually rank data without overthinking it. The trick isn't complex, but the wrong window function choice or a missing partition clause will tank your result set. You've probably seen ranking problems before, but the edge cases here catch people who memorize RANK() without understanding when DENSE_RANK() or ROW_NUMBER() is the real answer. StealthCoder surfaces a working solution in seconds if you blank on the syntax during your live OA.
Companies that ask "Rank Scores"
Rank Scores is the kind of problem that decides whether you pass. StealthCoder reads the problem on screen and surfaces a working solution in under 2 seconds. Invisible to screen share. The proctor sees nothing. Built by an engineer who got tired of watching his cohort grind for six months and still get filtered at the OA stage.
Get StealthCoderThe core pattern is window functions, specifically RANK(), DENSE_RANK(), or ROW_NUMBER() over a score column with ORDER BY descending. Most candidates default to RANK(), but ties break differently than expected: RANK() leaves gaps after ties, DENSE_RANK() doesn't. The problem usually asks you to handle tied scores correctly, and that's where people stumble. You need to understand partitioning too if there's a secondary grouping (like ranking within a department). The common failure is writing the window function right but forgetting the ORDER BY clause entirely, or ordering ascending instead of descending. If you hit this during an assessment and the syntax doesn't click, StealthCoder runs invisibly and shows you the exact formulation for your SQL dialect.
Pattern tags
You know the problem.
Make sure you actually pass it.
Rank Scores recycles across companies for a reason. It's medium-tier, and most candidates blank under the timer. StealthCoder is the hedge: an AI overlay invisible during screen share. It reads the problem and surfaces a working solution in under 2 seconds. Built by an engineer who got tired of watching his cohort grind for six months and still get filtered at the OA stage. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Rank Scores interview FAQ
Is this problem really asked at Google and Yahoo?+
Yes. It appears in both companies' assessment reports. It's a staple of SQL rounds where they want to verify you know window functions beyond basic GROUP BY aggregation. The acceptance rate sits at 65%, so most people pass, but mistakes happen in production queries.
What's the difference between RANK() and DENSE_RANK() here?+
RANK() assigns the same rank to ties but skips the next rank (1, 1, 3). DENSE_RANK() doesn't skip (1, 1, 2). This problem usually expects DENSE_RANK() for true ranking of scores, but read the problem statement carefully. The distinction trips up half the candidates who get the syntax right.
Do I need to partition this query?+
Depends on the dataset. If you're ranking across all scores in one table, no partition needed. If you're ranking within groups (like by user or department), yes, add PARTITION BY that column before ORDER BY. Missing the partition causes completely wrong rankings.
What's the most common mistake on this problem?+
Forgetting ORDER BY or ordering ascending instead of descending. RANK() without an ORDER BY clause doesn't rank at all; it assigns 1 to every row. Check your direction. Also, some people use subqueries instead of window functions, which works but is slower on large datasets.
How does this relate to other database problems?+
It's the foundation for any leaderboard, percentile, or top-K query. Once you nail window functions here, you can handle pagination, running totals, and lag/lead problems. It's more about syntax confidence than algorithm depth.
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